An Improved Quantum Particle Swarm Algorithm for Routing Optimization of Wireless Sensor Networks

Abstract

—Because of the limited energy of wireless sensor nodes, the energy loss of communication process affects network performance. In order to prolong the network lifetime and combine the fast ergodicity of the quantum particle swarm, this paper proposes a wireless network routing optimization method to improve the quantum particle swarm, aiming at the leach problem of the wireless sensor network WSN Classic Clustering protocol. The optimal routing speed is accelerated, and the optimal routing and energy consumption of the network are balanced as far as possible, and adjust the parameters of the cluster head election threshold to obtain the most suitable clustering structure for the current environment adaptively, so as to balance the network energy consumption and improve the network life. The experimental results show that compared with the LEACH-EP protocol, GA and PSO, the proposed protocol has better performance in network lifetime and network latency.